Efficient approximate checkerboard K-SVD for resource constrained embedded systems
Published in 35th Irish Signals and Systems Conference (ISSC 2024), 2024
K-Singular Value Decomposition (K-SVD) is widely used in signal processing and machine learning (e.g. for dictionary learning, image denoising), but its cost in computation and memory can be prohibitive for real-time implementations on resource constrained embedded
Recommended citation: Wu, Y. & McAllister, J. (2024). “Efficient approximate checkerboard K-SVD for resource constrained embedded systems.” In *Proceedings of the 35th Irish Signals and Systems Conference (ISSC 2024)*. IEEE.
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